diff --git a/BE/Semester_8/Deep_Learning/PYQs/SAMPLE_PYQ.md b/BE/Semester_8/Deep_Learning/PYQs/SAMPLE_PYQ.md
index 730ecb1..31a6228 100644
--- a/BE/Semester_8/Deep_Learning/PYQs/SAMPLE_PYQ.md
+++ b/BE/Semester_8/Deep_Learning/PYQs/SAMPLE_PYQ.md
@@ -1,18 +1,61 @@
-# 📝 Previous Year Questions (PYQs)
-
-This is a placeholder for PYQs. Students can add:
-- Mid Semester exam papers
-- End Semester exam papers
-- Question papers from last 3-5 years
-- Solutions to PYQs (if available)
-- Important questions list
-
-**How to contribute:**
-1. Upload PYQ PDFs to Google Drive
-2. Make it shareable ("Anyone with link can view")
-3. Add the link in the subject's README.md
-4. Format: `[📝 Mid Sem 2024](https://drive.google.com/...)`
-5. Add your GitHub username as contributor
+# Deep Learning: Previous Year Questions (PYQs)
+
+## Overview 🧠
+
+This repository/folder serves as a central hub for a curated collection of **Previous Year Questions (PYQs)** for **Deep Learning**.
+
+The primary goal is to provide a resource for students, researchers, and professionals preparing for university exams, certification tests (e.g., TensorFlow, PyTorch), or technical interviews.
+
+All files are hosted externally for easy access.
+
+## Access the Files 🚀
+
+All question papers, notebooks, and solutions are maintained in a shared drive.
+
+**👉 Get all files here: https://drive.google.com/drive/u/0/folders/1UvUnZFnp7Yht-Zs3R9VB7rTYaBpzAZih
+
+*(Note: Please ensure the link is set to "Anyone with the link can view" or similar public sharing permissions.)*
+
+---
+
+## What's in the Drive? 📁
+
+The Drive folder is organized by key topics within Deep Learning. You will find:
+
+* **/Topics**: Questions sorted by specific units.
+    * `Neural_Network_Basics/` (Backpropagation, Activation Functions, Gradient Descent, etc.)
+    * `Convolutional_Networks_CNN/` (Convolutions, Pooling, Architectures like VGG, ResNet)
+    * `Sequential_Models_RNN/` (RNN, LSTM, GRU, Sequence-to-Sequence)
+    * `Transformers/` (Attention, Self-Attention, BERT, GPT, etc.)
+    * `Generative_Models/` (GANs, VAEs, Diffusion Models)
+    * `Optimization_and_Regularization/` (Adam, RMSprop, Dropout, Batch Norm)
+* **/Exams**: Full question papers sorted by the examination or university.
+    * `University_XYZ_Final_2023/`
+    * `DL_Certification_Mock_Test/`
+* **/Solutions_and_Notebooks** (Optional): Solved papers or `.ipynb` (Jupyter/Colab) notebooks with practical implementations.
+
+*(You can customize this section to match your actual folder structure in the drive.)*
+
+## How to Use This Resource 💡
+
+1.  **Click the link** above to open the shared Drive folder.
+2.  **Browse** to the topic or exam you are interested in.
+3.  **Download** the files you need (especially `.pdf` papers or `.ipynb` notebooks).
+4.  **Practice:** Try to solve the questions, both theoretical (proofs, concepts) and practical (coding).
+5.  **Verify:** Check your answers against the provided solutions.
+6.  **Identify Gaps:** Use these questions to find areas where you need more study.
+
+## Disclaimer ⚠️
+
+The questions provided here are for **educational and practice purposes only**. They have been collected from various public sources. There is no guarantee of their accuracy, completeness, or relevance to any specific future examination. The solutions (if provided) are for reference and may contain errors. Always cross-verify with trusted academic sources and official documentation.
+
+## How to Contribute 🤝
+
+Contributions are welcome! If you have more PYQs, better solutions, or suggestions:
+
+* **Contact the maintainer** of this repository/drive.
+* (If applicable) Upload your files to a "Contributions" folder within the drive.
+* (If this is a Git repo) Open an **Issue** to report an error or suggest an improvement.
 
 ---
-**Contributor:** YourGitHubUsername
+**Contributor:** bigturtle679